Literature DB >> 1555178

LV chamber extraction from 3-D CT images--accuracy and precision.

W E Higgins1, N Chung, E L Ritman.   

Abstract

Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice-image editing, but provides more detailed 3-D structural definition.

Mesh:

Year:  1992        PMID: 1555178     DOI: 10.1016/0895-6111(92)90195-f

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  1 in total

1.  Segmentation of electron tomographic data sets using fuzzy set theory principles.

Authors:  Edgar Garduño; Mona Wong-Barnum; Niels Volkmann; Mark H Ellisman
Journal:  J Struct Biol       Date:  2008-02-16       Impact factor: 2.867

  1 in total

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